Artificial intelligence
Survival of the Fittest: What AI-supported production optimization can learn from Darwin

A guest contribution by Fabio Eupen* | Translated by AI 6 min Reading Time

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Multiple machines, numerous orders, endless combinations: the number of possible production sequences multiplies with each factor. So how to find the optimum without calculating for days before starting production? The answer lies with Charles Darwin.

The parameter space of manufacturing can be visualized as a hilly landscape in which the goal is to find the global optimum (highest mountain peak).(Image: iStock)
The parameter space of manufacturing can be visualized as a hilly landscape in which the goal is to find the global optimum (highest mountain peak).
(Image: iStock)

*Fabio Eupen works as a Data Scientist at Be-Terna.